Charting the Right Manifold: Manifold Mixup for Few-shot Learning

28 July 2019

Papers citing "Charting the Right Manifold: Manifold Mixup for Few-shot Learning"

50 / 154 papers shown

Title
Feature Generation for Long-tail Classification Rahul Vigneswaran M. Law V. Balasubramanian Makarand Tapaswi VLM 24 16 0 10 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 31 8 0 08 Nov 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 42 37 0 18 Oct 2021
Graphs as Tools to Improve Deep Learning Methods Carlos Lassance Myriam Bontonou Mounia Hamidouche Bastien Pasdeloup Lucas Drumetz Vincent Gripon GNN AI4CE AAML 47 0 0 08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 28 11 0 05 Oct 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot B. Wen 57 27 0 26 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 Sep 2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification Shuai Shao Lei Xing Yixin Chen Yanjiang Wang Baodi Liu Yicong Zhou 32 2 0 07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 19 1 0 07 Sep 2021
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification Myriam Bontonou Nicolas Farrugia Vincent Gripon CML 22 0 0 23 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 34 185 0 22 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 34 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 32 22 0 09 Jun 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 34 27 0 11 May 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 12 48 0 09 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 26 4 0 01 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 27 3 0 14 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 79 64 0 12 Feb 2021
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network Tomás Chobola Daniel Vasata Pavel Kordík OT 31 14 0 09 Feb 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 323 0 16 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 33 68 0 08 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 32 9 0 05 Jan 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 20 3 0 26 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 42 61 0 14 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 23 234 0 02 Dec 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 29 16 0 28 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
Few-shot Decoding of Brain Activation Maps Myriam Bontonou G. Lioi Nicolas Farrugia Vincent Gripon 11 7 0 23 Oct 2020
LT-GAN: Self-Supervised GAN with Latent Transformation Detection Parth Patel Nupur Kumari M. Singh Balaji Krishnamurthy 17 19 0 19 Oct 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 22 15 0 08 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-xiong Wang M. Hebert 20 11 0 16 Aug 2020
Assisting Scene Graph Generation with Self-Supervision Sandeep Inuganti V. Balasubramanian SSL 16 7 0 08 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 30 15 0 07 Aug 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 8 4 0 08 Jul 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 20 167 0 06 Jun 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 13 4 0 23 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 25 25 0 12 May 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 29 317 0 26 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 26 110 0 15 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 191 0 09 Mar 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning Nanyi Fei Zhiwu Lu Yizhao Gao Jia Tian Tao Xiang Ji-Rong Wen 166 11 0 11 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 11 12 0 06 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 25 28 0 27 Jan 2020